Google Cloud Professional Machine Learning Engineer — Question 51

You recently joined a machine learning team that will soon release a new project. As a lead on the project, you are asked to determine the production readiness of the ML components. The team has already tested features and data, model development, and infrastructure. Which additional readiness check should you recommend to the team?

Answer options

• A. Ensure that training is reproducible.
• B. Ensure that all hyperparameters are tuned.
• C. Ensure that model performance is monitored.
• D. Ensure that feature expectations are captured in the schema.

Correct answer: C

Explanation

The correct answer is C because monitoring model performance is crucial for understanding how well the model operates in production and identifying issues in real-time. While ensuring reproducibility (A), tuning hyperparameters (B), and capturing feature expectations (D) are important, they do not directly address the ongoing evaluation of the model's effectiveness once deployed.